SARL: A Scalable Attribute-Informed Representation Learning Framework for Bipartite Graphs

I completed my PhD at the University of Technology Sydney (UTS) in 2026, supervised by Prof. Ying Zhang, Prof. Lu Qin and Dr Hanchen Wang. My research develops machine learning algorithms for graph-structured data and database systems — graph neural network architectures, and learning-based methods that improve database and data-mining algorithms (fraud detection, graph similarity, supergraph search, malware detection). My work has appeared in KDD and IEEE TKDE. I am joining Zhejiang Gongshang University as a faculty member in 2027.